Software Development Engineer Ii, Dynamodb

Amazon Amazon · Big Tech · Seattle, WA · Software Development

Software Development Engineer II on the DynamoDB Capacity and Customer Entitlement team, responsible for designing and building production systems that optimize capacity planning and fleet scaling for DynamoDB's infrastructure. This role involves working on challenging distributed systems problems, building automated scaling algorithms, capacity management tools, and operational workflows. A key aspect is building ML-integrated prediction systems for demand forecasting and capacity allocation, and also leveraging AI coding tools to improve development velocity and code quality.

What you'd actually do

  1. Design, implement, and maintain production-grade capacity management systems that optimize fleet scaling across DynamoDB's AWS regions and multiple fleets (Load Balancing, Routing, Storage, Log Propagation, Backup/Restore, Replication)
  2. Own the full software development lifecycle, from design documents through implementation, testing, deployment, and operational support for capacity automation projects
  3. Build automated workflows that process customer capacity requests, achieving high auto-approval rates while optimizing DynamoDB's infrastructure investment
  4. Develop integration points across DynamoDB's architecture, gaining deep systems understanding from load balancing through storage and replication
  5. Create monitoring, alerting, and observability solutions that provide visibility into capacity health, utilization patterns, and optimization opportunities across global infrastructure

Skills

Required

  • distributed systems
  • software engineering fundamentals
  • systems thinking
  • production systems design
  • testing
  • deployment
  • operational support
  • monitoring
  • alerting
  • observability
  • code reviews
  • design discussions

Nice to have

  • machine learning
  • forecasting systems
  • data pipelines
  • capacity utilization patterns
  • mentoring junior engineers
  • AI coding tools

What the JD emphasized

  • optimize capacity planning and fleet scaling for DynamoDB's infrastructure
  • balance customer demand with infrastructure efficiency
  • optimize 9-figure infrastructure investment
  • predict demand patterns and optimize capacity allocation
  • AI coding tools

Other signals

  • Build machine learning-integrated prediction systems that predict demand patterns and optimize capacity allocation across global infrastructure
  • Develop and apply best practices for leveraging AI coding tools to accelerate development velocity and improve code quality across the team
  • You'll start your day writing code, building automation workflows, developing ML-integrated forecasting systems, or creating data pipelines that analyze capacity utilization patterns.